Working in data – whether it’s as an analyst, scientist or anything in between – can be fulfilling and rewarding. We explored some of the reasons people have chosen to pursue a career in the industry this week, and why 2021 might just be the year you decide to do the same.
Accenture Ireland’s applied intelligence lead, Denis Hannigan, believes that bringing AI to every department of a company is well overdue. In this guest article, he explained the reasoning behind professionalising and democratising AI in the workplace.
“Stakeholders must come together to distinguish clear roles and responsibilities for AI practitioners, demand the right level of education and training, define processes for developing, deploying and managing AI, and democratise AI literacy across the enterprise,” he said.
We were also treated to a guest post from Hays’ Brendan O’Donovan, who shared his thoughts on the impact of remote working on data roles.
As we continue to work from home, he wrote, data workers can expect greater importance around security awareness, new opportunities for remote learning, more dependency on online data tools and a redefined working culture this year.
Working in data
Getting down into the ins and outs of actually working in the field, we spoke to two people who have been in it for a number of years. Rosaria Silipo has spent her career in data science and now works at Knime where she is a ‘data science evangelist’. She’s passionate about helping others engage with data science, encouraging women to pursue careers in it and challenging the misconception around creativity in working with data.
We also looked at the role of chief data scientist, which Anodot’s Ira Cohen told us more about. The responsibilities of a chief data scientist, he said, include overseeing data management, leading data strategies and improving the quality of data. He believes these functions will become increasingly important as businesses navigate the pandemic this year, particularly in predicting customer churn.
With all of this in mind, you might be wondering how to kick-start your own data career. We looked at six important skills to keep in mind, including technical skills like coding and visualisation and softer skills like communication and curiosity.
Want stories like this and more direct to your inbox? Sign up for Tech Trends, Silicon Republic’s weekly digest of need-to-know tech news.
The post What you need to know before stepping into a career in data appeared first on Silicon Republic.